%0 Journal Article
%T Complete Undirected Graph Augmented Bayes Classifier and its Application in Intrusion Detection System<br>基于完全无向图的贝叶斯分类器在入侵检测中的应用
%A JIAO Cong-xin
%A WANG Chong-jun
%A CHEN Shi-fu
%A <br>焦从信
%A 王崇骏
%A 陈世福
%J 计算机科学
%D 2008
%I 
%X The strong independence assumption made by the naive Bayes classifier supposes that every attribute is independent from the rest of the attributes given the state of the class variable. This assumption rarely holds true in the intrusion detection datasets
%K Bayes
%K Classifier
%K Intrusion detection model<br>贝叶斯算法
%K 分类器
%K 入侵检测模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=2BCEB4988B131B57CA0BEB10AB991671&yid=67289AFF6305E306&vid=6209D9E8050195F5&iid=9CF7A0430CBB2DFD&sid=06EA2770E96C5402&eid=7AA74D31F1FF2DCE&journal_id=1002-137X&journal_name=计算机科学&referenced_num=1&reference_num=16